Patient experience is a cornerstone of quality healthcare, yet many organizations struggle to deliver personalized and seamless care journeys. With 80% of healthcare data unstructured and underutilized, artificial intelligence offers a transformative opportunity to bridge this gap. By analysing diverse datasets—electronic health records, wearables, social media—AI enables a deeper understanding of patient behaviors, paving the way for more personalized and effective care delivery. However, despite its potential, implementing AI in patient care presents challenges. These include data and privacy concerns, integration barriers and accessibility.
This workshop session provides actionable insights and strategies to overcome these barriers, focusing on three critical areas:
What you will gain from attending this workshop?
This workshop equips participants with a clear understanding of how AI can enhance patient experiences, offering practical approaches to navigating challenges
Join this interactive workshop which dives into the transformative potential of GenAI technologies in healthcare. Led by key opinion leaders, the session will combine real world examples, thought leadership, and hands-on activities to equip attendees with actionable knowledge and strategies to leverage GenAI in their organisations.
Key Takeaways:
What will you gain from attending?
Participate in this workshop to gain a comprehensive understanding of how GenAI is transforming pharmaceutical and healthcare workflows, brought to life through real world case studies and success stories. Discover practical tools and frameworks to evaluate the viability of GenAI projects for your organization. Additionally, connect with a community of innovators and industry experts to inspire collaboration.
AI is poised to revolutionise the pharmaceutical and healthcare industries, driving breakthroughs in gene editing & personalised treatments. However, translating the immense promise of AI into real- world, impactful therapies requires overcoming significant hurdles. This workshop will delve into the critical challenges facing AI-powered therapeutic development, including:
What will you gain by attending?
By attending this workshop, you’ll gain actionable insights into how AI is transforming therapeutic development. Learn practical strategies to overcome regulatory, ethical,and operational challenges and discuss whether AI driven therapeutics are the future of healthcare.
Researchers estimate that AI could generate up to $100 billion annually across the healthcare sector by optimizing clinical trials, streamlining administrative processes, and improving diagnosis accuracy. Yet, despite the promise, scaling AI beyond pilot projects and into widespread adoption remains a significant challenge. From data silos and regulatory hurdles to integration with legacy systems and ethical concerns, the road to AI-driven transformation is complex. During the opening panel discussion key opinion leaders will discuss actionable solutions on how to move AI implementation from pilot projects to enterprise-wide implementation.
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AI is transforming pharma and healthcare, from accelerating drug discovery to improving diagnostics. With this power comes a critical challenge: ensuring AI-driven decisions are fair, unbiased, and trustworthy. Studies show that biased AI models in healthcare have resulted in black patients receiving nearly 20% less care than white patients with the same health conditions. Without proactive measures, AI risks perpetuating disparities rather than closing the gaps in healthcare access and treatment.
Join our panel discussion on Responsible AI to explore practical solutions for building fair, accountable AI systems.
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While much focus has been on AI as a diagnostic or analytical tool, the emergence of Agentic AI presents both exciting opportunities and critical challenges for Pharma. Join this session where Sam Kahlil, Vice President, Novo Nordisk delves into the concept of Agentic AI workers in healthcare. Sam will explore their potential, applications, the crucial considerations for implementation and quality assurance.
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Delivering on their commitment to push the boundaries of science and advance innovation, AstraZeneca has been an early adopter of AI. This global pharmaceutical leader has harnessed AI to speed up drug discovery, identify disease biomarkers, facilitate diagnostics, and more. Now, Generative AI is revolutionizing regulatory submissions, offering new efficiencies and transformative capabilities.
Join this session and AstraZeneca’s Emilie Louvet, Director of Data Products, Digital Regulatory, Regulatory Affairs as she shares her leadership in driving strategic initiatives on next-generation submissions. Learn how AstraZeneca is implementing AI-powered solutions to accelerate submission timelines and enhance regulatory processes, ensuring faster approvals and greater efficiency.
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In an era defined by AI advancements, traditional training falls short. How do you truly equip your workforce to thrive amidst the Generative AI revolution? Join this session where Oliver Patel, Enterprise AI Governance lead, AstraZeneca, delves into their award-winning “Thriving in the Age of AI” program, recently recognized as the most innovative AI learning program of the year. During this session Oliver will explore how AstraZeneca successfully engaged over 12,000 employees, transforming a standard training initiative into a powerful AI empowerment experience. He will share insights into:
The EU AI Act is poised to reshape the landscape of AI in pharmaceutical and healthcare innovation. While many perceive it as a regulatory hurdle, Boehringer Ingelheim views it as a unique opportunity to solidify its position as a leader in responsible and trustworthy AI. During this session Micheal Scrhopp, Head of Digital Innovation for Regulatory Affairs will delve into how Boehringer Ingelheim is strategically leveraging the EU AI Act to not only ensure compliance but also to unlock significant competitive advantages. Micheal will explore the Act’s unique selling proposition for European pharma, how it can be transformed into a valuable asset for clients and regulators, alongside providing actionable tips for organizations to embrace this regulatory shift as a catalyst for innovation.
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Discover how artificial intelligence is accelerating the development of life-changing treatments for rare diseases. This session will showcase how AI algorithms are:
Join Thirupathi Pattipaka, Global Director, Data Science & AI at Novartis, to explore the transformative power of GenAI in harnessing Real-World Evidence for clinical trials. Learn how to strategically integrate AI and data across business functions to drive efficiency and improve patient outcomes.
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Join Sebastian Sbirna, Data Governance Lead in GlobalData & AI, to explores Novo Nordisk’s approach to data governance in its commercial pharmaceutical operations, focusing on how robust data management enables strategic data-driven decision-making. Key Discussion Points
Join this session as Geraldine Low, Lead Product Designer, Artificial Intelligence and Machine Learning at GSK presents JulesOS, a proprietary LLM-based operating system that leverages a community of intelligent agents to enhance productivity across administrative, business development, and R&D functions.
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In this presentation we will explore how Generative AI and Large Language Models are revolutionizing clinical trials by accelerating protocol development, enhancing patient recruitment, streamlining data analysis, and optimizing regulatory processes.
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Join Vladimir Nimec, Director Data & AI, Daiichi Sankyo,as he explores how AI is revolutionizing commercial pharma’s approach to HCP targeting, enabling hyper personalised engagement. We’ll delve into practical applications of AI-driven analytics to identify the right HCPs, understand their specific needs and deliver impactful information.
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Join Juan Ignacio Pascual, Director, Global Business Adoption, J&J as he delves into the critical aspects of building a robust framework for AI integration in R&D, focusing on governance, skills management and change management. We will explore practical strategies for overcoming these hurdles, fostering a culture of innovation.
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Zhaoling Meng, AVP, Sanofi, will discuss the global pharma organisations use of AI to develop and implement digital twins in clinical trials.
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AI offers unprecedented opportunities to move beyond a one-size-fits-all approach and cultivate meaningful, personalised connections with individuals throughout their healthcare journey. This expert panel will delve into the tangible benefits of leveraging AI to enhance patient engagement, improve outcomes, reduce operational costs, and expand patient access to vital treatments and information. Ultimately, the discussion will focus on creating a more positive and supportive healthcare experience.
AI systems promise to revolutionize patient care. However, this transformation comes at a cost: the delicate balance between harnessing patient data for innovation and safeguarding individual privacy. In our closing panel discussion, our key opinion leaders will explore the delicate balance between accelerating AI-driven breakthroughs and protecting sensitive patient information, asking the question: How do we honour privacy without stifling progress?
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As we wrap up day one of the conference, it’s your turn to take the stage!
Join us for an interactive closing session where attendees will share their key takeaways, standout moments, and most valuable insights from the day. We’ll also lookahead to day two, identifying the topics and challenges you’re eager to explore further.
The EU AI Act is set to become one of the most comprehensive regulatory frameworks governing AI. For pharmaceutical and healthcare organizations, understanding its implications is critical to ensuring compliance, mitigating risks, and maintaining a competitive edge. During this session, Kerry Sheehan, AI Policy Expert, offers an exploration of the EU AI Act and its relevance to the healthcare sector. Attendees will gain actionable insights into the regulatory requirements, risk management strategies, and the steps necessary to align AI initiatives with the new regulations.
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As AI becomes embedded in pharmaceutical research and development, its relationship with data is more critical than ever. AI algorithms are only as effective as the data they are trained on - making data quality, structure and harmonization foundational to success.
In the pharmaceutical industry, where innovation hinges on complex, high-volume datasets, curating and integrating clean, consistent, and comprehensive data is a strategic imperative.
This presentation will explore how high-quality data fuels AI-driven breakthroughs across drug discovery, clinical trials, and personalized medicine. It will address the persistent challenges of data silos, inconsistencies, and biases that hinder AI performance. Attendees will gain insights into how a disciplined approach to data management not only enhances predictive modeling and decision-making but also accelerates the path from research to real-world patient outcomes.
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In the rapidly evolving landscape of AI, pharma companies often rush to implement AI solutions without first clearly defining the problems they are trying to solve. This approach leads to misaligned initiatives that fail to deliver meaningful results as the focus is often too much on the “how” rather than the “why.”During this session Raj Madan, SVP and Chief Digital and Information Technology Officer, Arcutis Biotherapeutics, Inc., delves into the complexities and common pitfalls that organizations encounter on their AI journey, showcasing how in the fast-evolving world of AI, delivery is the currency of credibility.
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Join this session as Ghaith Sankari, Head of Global Digital Health & Data Science, Bayer dives into the practical application of AI in revolutionising drug development and maximizing the value of existing pharmaceutical assets. We will explore a case study demonstrating how AI empowers proactive risk detection across the entire drug lifecycle, from initial target identification to post-market surveillance. Furthermore, Ghaith will showcase how the same AI-driven approach can be leveraged to identify new therapeutic uses for existing drugs.
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In this lightening session, Jordi Escayola, Global Head of Advanced Analytics, Artificial Intelligence and Data Science, Sanofi, explores the transformative power of data discovery and agentic AI in accelerating drug discovery, development, and personalized medicine. Jordi will delve into how intelligent agents can automate complex data analysis, uncover hidden patterns, and drive informed decision-making.
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Scientific Explorer is the first AI-enabled knowledge mining tool introduced by EMA for the European Medicines Regulatory Network. The tool enables easy, focused and precise search of regulatory scientific information from network’s sources to support decision-making and simplify processes. Join Lorenzo De Angelis, Architect Data & AI,European Medicines Agency in this session to lean more about scientific explorer and how it can help EMA’s regulatory processes.
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Join this session to discuss how AI is revolutionizing lab automation in pharma. From automating repetitive tasks and optimizing experimental designs, AI algorithms are empowering scientists to focus on more strategic and creative aspects of research.
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This session will explore how AI is being used to automate various aspects of clinical trials, including patient screening, site management, and data analysis. Join us to discuss:
This session will explore how AI is being used to generate actionable insights for sales and marketing teams in commercial pharma and healthcare.
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This session at will explore how AI is being used across the drug discovery pipeline, including target identification, lead discovery and preclinical testing.
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During this session Debarshi Dey, VP Data Science,Galapagos delves into the biotech’s experience with integrating AI into its operations, exploring the formation of internal AI governance, and the practical applications of AI across its research and development pipelines.
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In today’s fast-paced commercial environment, Pharma sales teams need immediate access to relevant data to effectively engage with Healthcare Providers. Join Sean Buckley, CIO of Immuocore, as he reveals how the company leverages LLMs to integrate data strategies and personalise commercial sales. Key Discussion Points:
As we move into the new reality of AI in our enterprise daily life, we have been through a fast and furious wave of changes, attempts, pilots and confusion. As part of a major transformation effort, the team at Roche set out to establish a modelling strategy that will allow AI at scale for the purpose of maximizing business value. Join this session where Raul Mora, Senior Development Excellence Lead, Roche, shares an unfinished journey with learnings around:
• Internal Integration: Technology architecture & infrastructure
• The Importance of Strategy: Data and modelling strategy, bringing biostats, disease modellers, ML data scientists and business together
• Unique Selling Proposition: The need to establish the value proposition of AI, for both short and long term gains
During this case study we will uncover:
• What are the current compliance pain points – a view from corporate glasses
• What are the new compliance factors and considerations – a view from both industry and authority glasses
• What is AI governance and its importance in big pharma – a success story
As AI continues to revolutionise healthcare, critical questions remain about its global impact, accessibility, and long-term market sustainability. Despite rapid advancements, no AI-discovered drug has yet passed Phase 3 clinical trials—how close are we to this breakthrough, and what challenges must be overcome?This closing panel brings together leading experts to explore the future of AI-driven therapeutics, the evolving biotech-pharma relationship, and strategies for ensuring equitable access to AI-powered healthcare innovations.
Key topics include:
• The Road to AI Drug Approval: What hurdles remain before AI-discovered drugs reach the market?
• Funding & Investment: How can we secure sustainable funding for AI-driven drug development?
• Bridging the Accessibility Gap: Ensuring AI-powered healthcare benefits reach global populations